IDENTIFICATION OF ROBUST AND INTERPRETABLE BRAIN SIGNATURES OF AUTISM AND CLINICAL SYMPTOM SEVERITY USING A DYNAMIC TIME-SERIES DEEP NEURAL NETWORK

Identification of robust and interpretable brain signatures of autism and clinical symptom severity using a dynamic time-series deep neural network

Introduction Autism spectrum disorder (ASD) is among the most common and pervasive neurodevelopmental disorders.Yet, despite decades of research, the neurobiology of ASD is still poorly understood, as inconsistent findings preclude the identification of robust and interpretable neurobiological markers and predictors of clinical symptoms.Objectives

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Ramsay hunt syndrome: case report

Ramsay-Hunt Syndrome is an uncommon disease caused by the reactivation of latent Varicella zoster virus in the geniculate ganglion.It is characterized with a herpes zoster click here oticus associated with an acute peripheral facial nerve paralysis, and possible other cranial nerve lesions.We describe the case of a 27-year-old man who presented wit

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Secure quantum key distribution with a subset of malicious devices

Abstract The malicious manipulation of quantum key distribution (QKD) hardware is a serious threat to its security, as, typically, neither end users nor QKD manufacturers can validate the integrity of every component of their QKD system in practice.One possible approach to re-establish the security of QKD is to use a redundant number of devices.Fol

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A genetic analysis of retinitis pigmentosa

The data consists of sixty probands affected with Retinitis pigmentosa.Syndromic cases were found in five percent of the RP probands.Segregation analysis was carried out on proband sibship data.The ascertainment probability was estimated at here 0.5517.Analysis of the data by parental mating types of proband sibships indicated the presence of domin

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